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吴 連慧 (ゴ レンケイ) WU Lianhui
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論文 【 表示 ／ 非表示 】
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Numerical investigations of flow fields around polyethylene terephthalate (PET) nets using Improved Delayed Detached Eddy Simulation
Gang Wang, Zhi Wang, Chang-tao Guan, Zhao-qi Jiao, Jia-jun Hu, Lian-hui Wu, Xiao-yu Qu, Fu-kun Gui, De-jun Feng , 2026年04月
Ocean Engineering , 351 , 124441-1 - 124441-21
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Comparing the effects of single and coupled sloshing excitation on the self-cleaning hydrodynamic performance of the aquaculture tank on an offshore vessel
Fuzhi Zu, Can Cui, Haoran Cheng, Yanfei Wu, Jiajun Hu, Lianhui Wu, Dezhen Li, Fukun Gui, Dejun Feng, Fei Wang , 2026年03月
Ocean Engineering , 349 , 124155-1 - 124155-28
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Mapping subtle-featured oyster rafts with high-resolution imagery and deep learning techniques
Tianwei Mou, Yang Liu, Lintao Tan, Lianhui Wu, Yaya Zhang, Chunming Li, Huan Zhou, Irene D. Alabia , 2026年01月
ISPRS Journal of Photogrammetry and Remote Sensing , 231 , 216 - 229
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Morphological feature assessment of Larimichthys crocea for quality grading: a computer vision approach
Dejun Feng, Hang Liu, Lianhui Wu, Xiaoguo Ying, Xiaoyu Qu, Yang Gao, Fukun Gui, Chao Zhou , 2025年06月
Aquaculture International , 33 (5) , 1 - 24
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High-Resolution Ship Motion Measurement Using a Compact IMU: Application for a Small Vessel in Tokyo Bay
J. Mikai, L. Wu, T. Ikeya , 2025年06月
The Proceedings of the 35th (2025) International Ocean and Polar Engineering Conference , 4101 - 4107
科研費（文科省・学振）獲得実績 【 表示 ／ 非表示 】
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研究期間: 2022年04月 - 2025年03月 代表者: 吴連慧
若手研究 研究代表者 22K14327
This research aims to develop a high-resolution shoreline extraction technique by using convolutional neural network (CNN) based on X-band SAR images. The developed technique is expected to improve our monitoring ability of the shoreline change for sustainable management of the coastal zone.